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Texas Rangers data transformation modernizes stadium operations

CIO Business Intelligence

Driving better fan experiences with data. Noel had already established a relationship with consulting firm Resultant through a smaller data visualization project. Resultant then provided the business operations team with a set of recommendations for going forward, which the Rangers implemented with the consulting firm’s help.

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5 Questions every CEO should ask before embarking on a Data Transformation

Peter James Thomas

The title of this article is borrowed from a piece published by recruitment consultants La Fosse Associates earlier in the year. As its content consisted of me being interviewed by their Senior Managing Consultant, Liam Grier , I trust that I won’t get accused of plagiarism.

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Accelerate your data workflows with Amazon Redshift Data API persistent sessions

AWS Big Data

In this post, we’ll walk through an example ETL process that uses session reuse to efficiently create, populate, and query temporary staging tables across the full data transformation workflow—all within the same persistent Amazon Redshift database session.

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

Solutions for the various data management processes need to be carefully considered. Extensive planning and taking discussions on the best possible strategies with the different teams and external consultation should be a priority. The techniques for managing organisational data in a standardised approach that minimises inefficiency.

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Build data validation rules directly into ingestion layers so that insufficient data is stopped at the gate and not detected after damage is done. Use lineage tooling to trace data from source to report. Understanding how data transforms and where it breaks is crucial for audibility and root-cause resolution.

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Data strategy is a differentiator for universities. Here’s how to get it right

CIO Business Intelligence

Each strategy will be different according to the unique needs of the university, but at a minimum it should include the following: Evaluation of current data estate to understand pinch points and siloes so these can start to be tackled. Comprehensive upskilling programme to overcome data skills gaps.